DocumentCode
1905084
Title
Reliability assessment of transmission and distribution systems considering repair in adverse weather conditions
Author
Billinton, Roy ; Singh, Deep Gagan
Author_Institution
Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask., Canada
Volume
1
fYear
2002
fDate
2002
Firstpage
88
Abstract
The physical environment in which a transmission and distribution system resides has a significant impact on the resulting reliability of the network. Many researchers throughout the world believe that extreme adverse weather is becoming more frequent and severe. This paper illustrates a model that can be utilized for the predictive assessment of reliability indices in both adverse and extreme adverse weather conditions. Incorporating the failures that take place in extreme adverse weather calls for different models and techniques. In this paper, analysis is done using three different weather models: the conventional single and two weather state models and a three weather state model. The model presented in the paper incorporates the ability to consider repair in adverse weather and examines the effect of including this in the analysis. The ability to conduct repair during adverse weather conditions has a positive effect on the reliability indices of average system failure rate and average system outage duration.
Keywords
maintenance engineering; meteorology; power distribution reliability; power transmission reliability; adverse weather conditions; average system failure rate; average system outage duration; distribution systems; reliability; reliability assessment; reliability indices; repair; single weather state model; three weather state model; transmission systems; two weather state model; weather models; Application software; Ice; Intelligent networks; Power system reliability; Predictive models; Rain; Silicon compounds; Storms; Tornadoes; Weather forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 2002. IEEE CCECE 2002. Canadian Conference on
ISSN
0840-7789
Print_ISBN
0-7803-7514-9
Type
conf
DOI
10.1109/CCECE.2002.1015180
Filename
1015180
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